US 12,643,555 B2 · Electric vehicle energy management method based on bend prediction, terminal device, and storage medium

Abstract

The present disclosure relates to an electric vehicle energy management method based on bend prediction, a terminal device, and a storage medium. The method includes the following steps: S1. counting an average acceleration av of vehicle decelerations; S2. acquiring bend information of a road ahead by an e-horizon system; S3. predicting energy recovery amount during cornering based on the bend information and a maximum cornering speed of a vehicle; and S4. adjusting a logic threshold value for current driving based on the predicted energy recovery amount. With the method of the present disclosure, a supercapacitor can output more energy in advance based on energy likely to be recovered during cornering ahead, so as to free up energy recovery space and to recover energy during cornering, which can reduce power output of a battery, ensure energy recovery, and play a positive role in loss reduction and energy-saving control.

Claims9

Dependent claims

An electric vehicle energy management method based on bend prediction, comprising the following steps:

S1, counting, by a processor, an average acceleration av of vehicle decelerations;
S2, acquiring, by the processor, bend information of a road ahead from an e-horizon system;
S3, calculating, by the processor, a maximum cornering speed of a vehicle based on the bend information, and predicting an energy recovery amount during cornering;
and
S4, adjusting, by the processor, a logic threshold value for current driving based on the energy recovery amount;
wherein the step S1 comprises:
recording an acceleration ai of an ith vehicle deceleration based on a braking signal of the vehicle, and counting the average acceleration
a
v
=
1
n
⁢
∑
i
=
1
n
a
i
of the vehicle decelerations, wherein n≥30.

18 more elements

An electric vehicle energy management method based on bend prediction, comprising the following steps:

S1, counting, by a processor, an average acceleration av of vehicle decelerations;
S2, acquiring, by the processor, bend information of a road ahead from an e-horizon system;
S3, calculating, by the processor, a maximum cornering speed of a vehicle based on the bend information, and predicting an energy recovery amount during cornering;
and
S4, adjusting, by the processor, a logic threshold value for current driving based on the energy recovery amount;
wherein the step S3 comprises:
S31, calculating the maximum cornering speed vs=√{square root over (μgR)} of the vehicle, wherein R denotes a radius of curvature of a bend, u denotes a road friction coefficient of the bend, and g denotes an acceleration of gravity;
and
S32, predicting the energy recovery amount λE during cornering, wherein E denotes kinetic energy
E
=
1
2
⁢
m
⁡
(
v
0
2
-
v
s
2
)
reduced by decreasing a current vehicle speed v0 to the maximum cornering speed vs, λ denotes an energy recovery coefficient, and m denotes vehicle mass.

23 more elements

Dependencies are inferred from the claim text.

Electric vehicle energy management method based on bend prediction, terminal device, and storage medium

Life of this patent

Electric vehicle energy management method based on bend prediction, terminal device, and storage medium

Life of this patent

Abstract

Claims9